Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reducing conversational agents' overconfidence through linguistic calibration
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2012.14983.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.611654Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7217b2d7-90ba-453c-affb-905bcc030194 · inbound
Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know Reducing conversational agents' overconfidence through linguistic calibration
Reference 289
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T15:42:47.485000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 06f49a86-cc15-41cc-8d19-9bb407f43d19 · inbound
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation cites this paper.
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation Reducing conversational agents' overconfidence through linguistic calibration
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T18:00:05.418416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 323c904a-c8fa-40d6-afd8-5e22b819794e · inbound
Random-Set Large Language Models cites this paper.
Random-Set Large Language Models Reducing conversational agents' overconfidence through linguistic calibration
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:31:49.611654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.